Triple

T9151276
Position Surface form Disambiguated ID Type / Status
Subject Närpes E219588 entity
Predicate mergedWith P77 FINISHED
Object Kaskö (historical municipal changes in region) E752108 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kaskö (historical municipal changes in region) | Statement: [Närpes, mergedWith, Kaskö (historical municipal changes in region)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaskö (historical municipal changes in region)
Context triple: [Närpes, mergedWith, Kaskö (historical municipal changes in region)]
  • A. Kansk
    Kansk is a small industrial city in eastern Siberia, Russia, known as a regional transport hub within Krasnoyarsk Krai.
  • B. Karlskoga Municipality
    Karlskoga Municipality is a local government area in central Sweden known for its industrial heritage and association with Alfred Nobel.
  • C. Kasavakan
    Kasavakan is a village in Taiwan associated with the Puyuma Indigenous people, where the Puyuma language is traditionally spoken.
  • D. Kaskinen chosen
    Kaskinen is a small coastal town and municipality in western Finland, known as one of the country’s smallest cities by population.
  • E.
    Kö is the colloquial name for Königsallee, Düsseldorf’s famous luxury shopping boulevard known for its upscale boutiques and central canal.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96b57888190a09a563f1fa522f6 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0483cdd048190904260c44a5810cf completed April 3, 2026, 11:07 p.m.
Created at: March 30, 2026, 7:20 p.m.